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Artigo de evento Modelling, control and application of dynamic programming to a series-parallel hybrid electric vehicle(2015-09-21) TRINDADE, I. M.; FLEURY, A. T.© 2015 Dime universita di genova, dimeg university of calabria. All rights reserved.Hybrid Electric Vehicles (HEVs) present a wide range of powertrain configurations, degrees of hybridization and added costs when compared to conventional powertrains. From the point of view of control system, the major problem is the reduction of fuel consumption and pollutant emission. A method for determining the strategy that best suits this problem relies on minimization methods that find the optimal control variables depending on the system states and cost functions. This paper presents the modelling of the powertrain of a series-parallel HEV and control strategies with focus on fuel consumption reduction. As energy management strategy, a rule based (sub optimal) and dynamic programming (optimal) methods were implemented. Results obtained with both models are compared with real dynamometer test.Artigo de evento Modeling, identification and a first control approach on the quality of flames in oil furnaces(2015-09-21) FLEURY, A. T.; CHUI, D. S.; TRIGO, F. C.; MARTINS, F. P. R.© 2015 Dime universita di genova, dimeg university of calabria. All rights reserved.In industrial oil furnaces, unstable flames can lead to potentially dangerous conditions. Elaborate control systems are used to monitor the parameters of the process to avoid those problems. Current trends in research seek to identify a priori anomalous behavior of the flames, thus improving the time response of the control system. Controller performance is directly affected by the accuracy of the system model. Unfortunately, due to the complexity of the process, physical models of flame propagation are still not faithful enough for control purposes. Conversely, could the complex dynamics of flame propagation be described in terms of an identified assumed model, the control strategy could be improved. In this work, a control technique based on an Operational Modal Analysis model identification of a state-space description of oil flame dynamics in a prototype furnace is designed. Results obtained suggest that the proposed approach might be used in an automated control system.